An Ant colony optimization approach for parameter identification of piezoelectric resonator chaotic system

In this paper, the Ant colonies optimization (ACO) algorithm is used for offline parameters identification of piezoelectric resonator. The unknown control parameters of the piezoelectric chaotic resonator are taken as a parameter vector, and will be estimated optimally for the exact values of parameters with the application of the proposed ACO algorithm. The Ant colony optimization algorithm is used to find the optimal control parameters of the nonlinear chaotic resonator by minimizing errors between the estimated and actual output. Simulation results of piezoelectric resonator system shows that the ACO algorithm is applied to illustrate the effectiveness for the parameter identification and gives a stable oscillation of the chaotic piezoelectric resonator.